# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
import torch.nn as nn
import torch.nn.functional as F

class InterpolateModule(nn.Module):
	"""
	This is a module version of F.interpolate (rip nn.Upsampling).
	Any arguments you give it just get passed along for the ride.
	"""

	def __init__(self, *args, **kwdargs):
		super().__init__()

		self.args = args
		self.kwdargs = kwdargs

	def forward(self, x):
		return F.interpolate(x, *self.args, **self.kwdargs)
